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You are viewing ARCHIVED CONTENT released online between 1 April 2010 and 24 August 2018 or content that has been selectively archived and is no longer active. Content in this archive is NOT UPDATED, and links may not function.By Jeff Catlin
The term “big data” is ambiguous – when does it actually cross the line from just being “data”? The plain truth is that nobody is really sure. Some people have definitions like “when you have to use tools like machine learning” or “datasets whose size is beyond the ability of typical database software tools to capture, store, manage, and analyze.” It can be more useful to define Big Data as the data necessary to make decisions that have a positive impact on a business. Think about the “bigness” not in terms of literally how much data there is, but in its potential to help make more money.
Read the complete article at: Text Analytics: The Next Generation of Big Data